Free Online Tools for AI & LLM Developers
Utilities for building on top of large language models
Working with large language models introduces a new set of constraints most developer tooling was not designed for: token budgets instead of character limits, per-token pricing instead of flat rates, and different tokenizers for different model families. This category holds practical utilities that fit those constraints — starting with a token counter that estimates the cost and length of a prompt across GPT, Claude, and Gemini before you spend real money on an API call.
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When to use these tools
Use these tools when preparing a prompt for a large batch job, comparing how the same content is priced across model families, or trimming a prompt to fit under a specific context window.
Frequently Asked Questions
How accurate is the token count?
The estimator matches `tiktoken` (OpenAI's official tokenizer) within a few percent for typical English and code inputs. For billing-critical decisions, run the official tokenizer for your target model.
Do different LLM providers count tokens the same way?
No. GPT uses cl100k_base BPE, Claude uses a similar but distinct BPE vocabulary, and Gemini uses SentencePiece. The same text can differ by 10–15% across providers.